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Training

SkillMonitoring & ops

Lets your agent launch and monitor reinforcement learning and SFT training runs.

Connect your AIUse it in a pipeline

Then ask your AI: use the Training skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.

About this skill

Launch and monitor prime-rl training runs. Use when starting, supervising, or debugging an RL/SFT run. Routes to `start-run` (entrypoints + how to launch) and `monitor-run` (logs, metrics, check-ins).

What this skill tells your AI

The instructions your AI receives, as published by primeintellect-ai/prime-rl in skills/training/SKILL.md and read by Ahel’s review.

Two phases — start the run, then watch it.

  • Start a run — see start-run/SKILL.md for the rl, sft, and inference entrypoints and how to launch them (single-node, SLURM, dry-run).
  • Monitor a run — see monitor-run/SKILL.md for the runbook: how to find the output dir, what to tail, which metrics to watch, and how to restart safely.

Both subskills assume the configs skill for config-loading mechanics. Standalone evals (uv run eval) are the eval skill; online evals of a training run are configured in start-run and read in monitor-run.

Signals

GitHub stars
2k
Forks
455
Last commit
Oct 2026
Advanced
Item type
skill
Key
training
Source
github.com/primeintellect-ai/prime-rl

github.com/primeintellect-ai/prime-rl

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